DeepSeek is a Chinese AI model optimized for reasoning and code with lower computational costs, while Google's Gemini is a broader multimodal AI assistant with superior image understanding and tight Google ecosystem integration. DeepSeek excels in mathematical problem-solving, whereas Gemini dominates in creative tasks and real-time information access.
DeepSeek vs Gemini — Side-by-side comparison on A Versus B
Choose DeepSeek if you prioritize cost-efficient reasoning tasks, mathematical problem-solving, and code generation without cloud ecosystem lock-in. Choose Gemini if you need multimodal capabilities, real-time web integration, image generation, and seamless Google Workspace connectivity for enterprise or creative professional use.
Cost-efficient Chinese AI model with advanced reasoning capabilities, available via API and chat interface
Beginner-friendly cryptocurrency exchange with NY Trust Company charter and strong regulatory oversight.
Structured comparison data for DeepSeek vs Gemini with 177 attributes.
Reasoning Task Performance (GPQA Benchmark)
Minimum GPU VRAM for Full Model Inference
Math Reasoning Accuracy (AIME Benchmark)
Code Generation - Codeforces Problems Solved
Complex Reasoning Accuracy (AIME Benchmark)
Code Generation Quality (HumanEval Benchmark)
Coding Performance (HumanEval Benchmark)
DeepSeek vs Gemini — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for DeepSeek vs Gemini.
Which AI is better for coding and mathematical problems?
DeepSeek slightly edges Gemini for pure coding and mathematics. DeepSeek achieved 79.8% on AIME math benchmarks and solved 70+ advanced Codeforces problems, compared to Gemini's comparable but slightly lower code-specific performance. However, Gemini excels when the task requires web research to verify solutions or involves creative coding patterns.
Can I use DeepSeek offline or host it myself?
Yes, DeepSeek's model weights are open-source and publicly available, allowing self-hosting via frameworks like Ollama or LM Studio. Gemini requires Google's API and cannot be self-hosted. This makes DeepSeek ideal for privacy-sensitive applications and offline deployments.
Does DeepSeek have image generation like Gemini?
No, DeepSeek currently has no native image generation capability. Gemini integrates Imagen 3, Google's advanced image generation model, making it the clear choice for visual content creation tasks. DeepSeek is primarily a text and code reasoning model.
DeepSeek's API pricing is not publicly available, but its reported $5.5M training cost (vs. Gemini's $50M+) suggests lower operating costs. Gemini's published API pricing ranges $0.0075-$0.30 per million tokens depending on model tier. For enterprise deployments, self-hosting DeepSeek could be significantly cheaper than Gemini's recurring API costs.
Yes, Gemini Advanced includes real-time web search integration, allowing it to retrieve current news, stock prices, and recent events. DeepSeek has no real-time web access and relies only on training data (knowledge cutoff in mid-2024), making Gemini superior for time-sensitive queries.